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Last updated on 2020-07-18.

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Ted Laderas, PhD

Assistant Professor, Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University

I am passionate about teaching students to think about data and utilize open science workflows. I have taught Data Science to a variety of groups, including graduate students, post-docs, staff, and clinicians. I am also an RStudio Certified Trainer in both the tidyverse and Shiny.

Selected Courses

BMI569: Data Analytics

Biomedical Informatics, Oregon Health & Science University

Portland, OR

Current - 2015

  • Course co-director. Hybrid course co-taught with Kaiser Permanente Insight group.
  • Winner of the Sakai Torchbearer Award 2020. Multiple nominations from students.
  • Audience is both clinicians and bioinformaticans.

BMI507: Ready for R

Biomedical Informatics, Oregon Health & Science University

Portland, OR

Current - 2020

  • Course Director. A gentle introduction to visualization, data transformation, and statistics using R and the tidyverse.
  • Course is open to anyone at https://ready4r.netlify.app/mailing
  • Currently over 1000 external students have enrolled.

NEUS643: Stats for Neuroscientists

Neuroscience Graduate Program, Oregon Health & Science University

Portland, OR

Current - 2020

  • Course Director. An introduction to image processing, statistics, and machine learning focusing on confocal microscopy data.
  • Lecture/Active Learning Labs using RStudio.cloud.

Educational Resources

RBootcamp

Online Course

N/A

Current - 2015

  • Online Interactive Introduction to the Tidyverse. Currently available as a free course to everyone.
  • Written with Jessica Minnier. Taken by incoming Bioinformatics students.

Clinical Data Wrangling

NLM T15 Data Science Workshop

N/A

Current - 2017

  • Multi-day workshop on understanding clinical data quality issues through both didactic lecturing and active data exploration.
  • Written with Eilis Boudreau and Nicole Weiskopf.
  • Given as an intro to both our incoming clinical and bioinformatics students.

A gRadual Introduction to Shiny

Workshop

N/A

2019 - 2017

  • Workshop introducing basic interactive visualization and dashboard building using the Shiny framework for R
  • Written with Jessica Minnier
  • Given for PDX R User Group and WNAR 2019. Used by multiple colleges, including Reed College and Lehmann College

How to make a reproducible paper

BioData Club Workshop

N/A

2019

  • Workshop introducing best practices in data management and code management to make an analysis reproducible.
  • Written with Aurora Blucher. Given for BioData Club.

cvdRiskData Prediction Workshop

Big Data to Knowledge (BD2K) workshop

N/A

2018

  • A workshop given for Portland State University students exploring the difficulties of predicting cardiovascular risk using shiny for exploratory data analysis and caret for machine learning. Part 1 and Part 2.
  • Written with David Dorr

Academic Site Workshop Using GitHub Pages

BioData Club Workshop

N/A

2018

  • Workshop for setting up a personal academic website using GitHub Pages
  • 115 students, faculty, and staff have used this workshop, many at external institutions

Research

Selected Publications, Posters, and Talks

Clincal Data Wrangling: Active/Didactic Learning.

Symposium on Data Science and Statistics

N/A

2019

  • Ted Laderas, Nicole Weiskopf, and Eilis Boudreau. Talk given for Symposium on Data Science and Statistics.

Democratizing Data Science Using LearnR and Shiny

RStudio Conference

N/A

2019

  • Poster on interactive visualization and pedagogy.
  • Written with Jessica Minnier

Teaching data science fundamentals through realistic synthetic clinical cardiovascular data

Biorkv

N/A

2017

  • Ted Laderas, Nicole Vasilevsky, Bjorn Pederson, Shannon McWeeney, Melissa Haendel, and David Dorr.
  • Contribution: First author: helped conceive study, designed bayesian network, developed course material based on dataset.

Selected Data Science Writing

I regularly blog about education, data science, and mental health in a variety of places, but especially at my blog

Things we learned teaching clinical data wrangling

N/A

N/A

2018

  • My notes on teaching the clinical data wrangling short course, and intro course introducing students to the critical thinking data process with the Sleep Heart Health Study dataset

Service History and Accomplishments

BioData Club

Oregon Health & Science University

N/A

Current - 2015

  • Co-founder. Data Science focused community of practice. We are students, postdocs, staff, and faculty focused on learning Data Science skills together
  • Currently at 329 members spanning OHSU, PSU and beyond

Cascadia-R Conference

Oregon Health & Science University

N/A

2018 - 2017

  • Co-founder. Regional Conference focused on sharing skills and projects using the R Statistical language. Responsible for logistics, talk selection, and scholarship selection
  • 254 Attendees in 2018.

Positions and Work Experience

Assistant Professor, Division of Bioinformatics and Computational Biomedicine

Medical Informatics and Clinical Epidemiology, Oregon Health & Science University

Portland, OR

Current - 2017

Faculty Instructor

Medical Informatics and Clinical Epidemiology, Oregon Health & Science University

Portland, OR

2017 - 2014

NLM Postdoctoral Fellow, Division of Bioinformatics and Computational Biology

Medical Informatics and Clinical Epidemiology, Oregon Health & Science University

Portland, OR

2015 - 2014

NLM Predoctoral Fellow, Division of Bioinformatics and Computational Biology

Medical Informatics and Clinical Epidemiology, Oregon Health & Science University

Portland, OR

2014 - 2009

Teaching Assistant/Computer Programmer/Server Admin, Medical Informatics and Clinical Epidemiology

Oregon Health & Science University

Portland, OR

2002 - 2001